Feng, D., Huang, X., Jiang, W., Sun, Y. , Xiao, S., He, C. and Zheng, F.-C. (2021) Power-spectrum trading for full-duplex D2D communications in cellular networks. IEEE Transactions on Green Communications and Networking, 5(4), pp. 2016-2026. (doi: 10.1109/TGCN.2021.3083584)
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Abstract
Device-to-device (D2D) communications allows two adjacent mobile terminals transmit signal directly without going through base stations, which has been considered as one of the key technologies for future mobile networks. As full-duplex (FD) communications can improve the performance (i.e., throughput, energy efficiency (EE)) of communications systems, it is commonly used in practical D2D communications scenarios. However, FD-enabled D2D communications also results in self-interference. To fully realize the potential benefits of FD-enabled D2D communications, an effective resource allocation mechanism is critical to avoid not only the self-interference of FD-enabled D2D communications but also the interference between D2D users (DUs) and cellular users (CUs). In this paper, we investigate the resource allocation issue for FD-enabled DUs and traditional CUs. Considering the asymmetry of energy and spectrum resources of DUs and CUs, we propose a power-spectrum trading mechanism to achieve mutual benefits for both types of users. A concave-convex procedure algorithm is employed to solve the optimization problem of power allocation, and then a maximum weighted bipartite matching based method is proposed to select proper D2D pairs to maximize the overall system throughput. Numerical results show that the proposed scheme can remarkably improve the overall throughput and EE of FD-enabled D2D communications system.
| Item Type: | Articles |
|---|---|
| Additional Information: | This work was supported in part by the National Major Research and Development Program of China under Grants 2020YFB1807601, and 2020YFB1805005, in part by the Shenzhen Science, and Technology Program under Grants KQTD20190929172545139, and JCYJ20180306171815699, in part by the Young Elite Scientists Sponsorship Program by CAST under Grant 2018QNRC001, in part by the Innovation Project of Guangdong Educational Department under Grant 2019KTSCX147, and in part by the Shenzhen Overseas High-level Talents Innovation and Entrepreneurship under Grant KQJSCX20180328093835762. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Sun, Dr Yao |
| Authors: | Feng, D., Huang, X., Jiang, W., Sun, Y., Xiao, S., He, C., and Zheng, F.-C. |
| College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Journal Name: | IEEE Transactions on Green Communications and Networking |
| Publisher: | IEEE |
| ISSN: | 2473-2400 |
| ISSN (Online): | 2473-2400 |
| Published Online: | 25 May 2021 |
| Copyright Holders: | Copyright © 2021 IEEE |
| First Published: | First published in IEEE Transactions on Green Communications and Networking 5(4): 2016-2026 |
| Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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